743 search results - page 90 / 149 » Solving the Multiple-Instance Problem: A Lazy Learning Appro... |
113
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ATAL
2007
Springer
15 years 8 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
110
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ATAL
2009
Springer
15 years 8 months ago
2009
Springer
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...
119
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GECCO
2005
Springer
15 years 7 months ago
2005
Springer
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
130
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NPL
2006
15 years 1 months ago
2006
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
111
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GECCO
2006
Springer
15 years 5 months ago
2006
Springer
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...